Search Results for author: Iti Mathur

Found 18 papers, 1 papers with code

A Lightweight Stemmer for Gujarati

no code implementations19 Oct 2012 Juhi Ameta, Nisheeth Joshi, Iti Mathur

Gujarati is a resource poor language with almost no language processing tools being available.

Development of a Hindi Lemmatizer

1 code implementation24 May 2013 Snigdha Paul, Nisheeth Joshi, Iti Mathur

We live in a translingual society, in order to communicate with people from different parts of the world we need to have an expertise in their respective languages.

Lemmatization Machine Translation +2

Rule Based Transliteration Scheme for English to Punjabi

no code implementations15 Jul 2013 Deepti Bhalla, Nisheeth Joshi, Iti Mathur

Proper transliteration of name entities plays a very significant role in improving the quality of machine translation.

Translation Transliteration

Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification

no code implementations4 Sep 2013 Rashmi Gupta, Nisheeth Joshi, Iti Mathur

This paper considers the problem for estimating the quality of machine translation outputs which are independent of human intervention and are generally addressed using machine learning techniques. There are various measures through which a machine learns translations quality.

Bayesian Inference BIG-bench Machine Learning +4

Development of Marathi Part of Speech Tagger Using Statistical Approach

no code implementations2 Oct 2013 Jyoti Singh, Nisheeth Joshi, Iti Mathur

Part-of-speech (POS) tagging is a process of assigning the words in a text corresponding to a particular part of speech.

Information Retrieval Part-Of-Speech Tagging +7

Improving the Quality of MT Output using Novel Name Entity Translation Scheme

no code implementations2 Oct 2013 Deepti Bhalla, Nisheeth Joshi, Iti Mathur

This paper presents a novel approach to machine translation by combining the state of art name entity translation scheme.

Miscellaneous Translation +1

HEVAL: Yet Another Human Evaluation Metric

no code implementations15 Nov 2013 Nisheeth Joshi, Iti Mathur, Hemant Darbari, Ajai Kumar

Machine translation evaluation is a very important activity in machine translation development.

Machine Translation Translation

Automatic Ranking of MT Outputs using Approximations

no code implementations22 Nov 2013 Pooja Gupta, Nisheeth Joshi, Iti Mathur

In this paper, we show an approach which can provide automatic ranks to MT outputs (translations) taken from different MT Engines and which is based on N-gram approximations.

Machine Translation Translation

Quality Estimation of English-Hindi Outputs using Naive Bayes Classifier

no code implementations27 Dec 2013 Rashmi Gupta, Nisheeth Joshi, Iti Mathur

There are various methods for estimating the quality of output sentences, but in this paper we focus on Na\"ive Bayes classifier to build model using features which are extracted from the input sentences.

Machine Translation Translation

Shiva: A Framework for Graph Based Ontology Matching

no code implementations28 Mar 2014 Iti Mathur, Nisheeth Joshi, Hemant Darbari, Ajai Kumar

Structures which can facilitate open world assumptions and can be flexible enough to incorporate and recognize more than one name for an entity.

Ontology Matching

Shiva++: An Enhanced Graph based Ontology Matcher

no code implementations19 Apr 2014 Iti Mathur, Nisheeth Joshi, Hemant Darbari, Ajai Kumar

Two different ontologies assimilating same knowledge tend to use different terms for the same concepts.

Graph Matching Management

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